Pages that link to "Item:Q957133"
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The following pages link to Modeling and prediction of multivariate space-time random fields (Q957133):
Displaying 17 items.
- Using simultaneous diagonalization to identify a space-time linear coregionalization model (Q500712) (← links)
- Spatial analysis of auto-multivariate lattice data (Q657081) (← links)
- Extending multivariate space-time geostatistics for environmental data analysis (Q1001142) (← links)
- Prediction of particle pollution through spatio-temporal multivariate geostatistical analysis: spatial special issue (Q1621228) (← links)
- Spatial expectile predictions for elliptical random fields (Q1657810) (← links)
- Computational advances for spatio-temporal multivariate environmental models (Q2135883) (← links)
- Modeling Ocean currents through complex random fields indexed in time (Q2238087) (← links)
- Tucker tensor analysis of Matérn functions in spatial statistics (Q2324355) (← links)
- Prediction for spatio-temporal models with autoregression in errors (Q2892924) (← links)
- A Hierarchical Bayesian Model for Spatial Prediction of Multivariate Non-Gaussian Random Fields (Q3008861) (← links)
- Predictive Oscillation Patterns: A Synthesis of Methods for Spatial-Temporal Decomposition of Random Fields (Q4366092) (← links)
- Spatial prediction and temporal backcasting for environmental fields having monotone data patterns (Q4546731) (← links)
- Space–time correlation analysis: a comparative study (Q5123596) (← links)
- A new space–time multivariate approach for environmental data analysis (Q5124931) (← links)
- Likelihood-based inference for multivariate space-time wrapped-Gaussian fields (Q5222501) (← links)
- A study on sampling design for optimal prediction of space-time stochastic processes (Q5938219) (← links)
- 30 years of space-time covariance functions (Q6602109) (← links)
